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» Maximal Vector Computation in Large Data Sets
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IPPS
2005
IEEE
14 years 1 months ago
Maximizing the Lifetime of Dominating Sets
We investigate the problem of maximizing the lifetime of wireless ad hoc and sensor networks. Being battery powered, nodes in such networks have to perform their intended task und...
Thomas Moscibroda, Roger Wattenhofer
ISVC
2009
Springer
14 years 2 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
BMCBI
2008
169views more  BMCBI 2008»
13 years 8 months ago
A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
Alexander R. Statnikov, Lily Wang, Constantin F. A...
TNN
2010
143views Management» more  TNN 2010»
13 years 2 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
SDM
2012
SIAM
245views Data Mining» more  SDM 2012»
11 years 10 months ago
Deterministic CUR for Improved Large-Scale Data Analysis: An Empirical Study
Low-rank approximations which are computed from selected rows and columns of a given data matrix have attracted considerable attention lately. They have been proposed as an altern...
Christian Thurau, Kristian Kersting, Christian Bau...